Survival prediction models: an introduction to discrete-time modeling.
Background: Prediction models for time-to-event outcomes are commonly used in biomedical research to obtain subject-specific probabilities that aid in making important clinical care decisions. There are several regression and machine learning methods for building these models that have been designed...
| Published in: | BMC Medical Research Methodology Vol. 22; no. 1; pp. 1 - 19 |
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| Main Authors: | , , |
| Format: | research Journal Article |
| Published: |
BioMed Central
7/26/2022
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| Online Access: | View this record in EBSCOhost |